guangyizhangbci / PLL-Emotion-EEGLinks
IEEE Transactions on Affective Computing, 2025
☆23Updated 6 months ago
Alternatives and similar repositories for PLL-Emotion-EEG
Users that are interested in PLL-Emotion-EEG are comparing it to the libraries listed below
Sorting:
- [TAFFC-2022] PyTorch implementation of TSception v2☆144Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆76Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 4 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆50Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆116Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆122Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆73Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- ☆32Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆138Updated 4 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆138Updated last month
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆84Updated 7 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆18Updated 2 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆15Updated 5 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 3 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆22Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- ☆15Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neu…☆12Updated 4 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, w…☆15Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 2 years ago
- ☆21Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆44Updated 11 months ago